Comparing Dataset A and Dataset B

Dataset statistics

	Dataset A	Dataset B
Number of variables	8	8
Number of observations	21229	10415
Missing cells	23254	11349
Missing cells (%)	13.7%	13.6%
Duplicate rows	770	227
Duplicate rows (%)	3.6%	2.2%
Total size in memory	1.5 MiB	732.3 KiB
Average record size in memory	72.0 B	72.0 B

Variable types

	Dataset A	Dataset B
Categorical	2	2
Numeric	6	6

Alerts

Dataset A	Dataset B
Dataset has 770 (3.6%) duplicate rows	Dataset has 227 (2.2%) duplicate rows	Duplicates
`pressure` is highly overall correlated with `d_e` and 2 other fields	`pressure` is highly overall correlated with `d_e` and 2 other fields	High Correlation
`d_e` is highly overall correlated with `pressure` and 1 other fields	`d_e` is highly overall correlated with `pressure` and 1 other fields	High Correlation
`d_h` is highly overall correlated with `pressure` and 4 other fields	`d_h` is highly overall correlated with `pressure` and 4 other fields	High Correlation
`length` is highly overall correlated with `d_h` and 1 other fields	`length` is highly overall correlated with `d_h`	High Correlation
`author` is highly overall correlated with `d_h` and 1 other fields	`author` is highly overall correlated with `d_h` and 1 other fields	High Correlation
`geometry` is highly overall correlated with `pressure` and 3 other fields	`geometry` is highly overall correlated with `pressure` and 2 other fields	High Correlation
`author` has 3403 (16.0%) missing values	`author` has 1621 (15.6%) missing values	Missing
`geometry` has 3713 (17.5%) missing values	`geometry` has 1787 (17.2%) missing values	Missing
`pressure` has 2986 (14.1%) missing values	`pressure` has 1466 (14.1%) missing values	Missing
`mass_flux` has 3227 (15.2%) missing values	`mass_flux` has 1564 (15.0%) missing values	Missing
`d_e` has 3641 (17.2%) missing values	`d_e` has 1847 (17.7%) missing values	Missing
`d_h` has 3127 (14.7%) missing values	`d_h` has 1462 (14.0%) missing values	Missing
`length` has 3157 (14.9%) missing values	`length` has 1602 (15.4%) missing values	Missing
Alert not present in	`geometry` is highly imbalanced (50.0%)	Imbalance

Reproduction

	Dataset A	Dataset B
Analysis started	2023-05-31 22:43:57.180655	2023-05-31 22:44:01.684720
Analysis finished	2023-05-31 22:44:01.678589	2023-05-31 22:44:06.041947
Duration	4.5 seconds	4.36 seconds
Software version	ydata-profiling v0.0.dev0	ydata-profiling v0.0.dev0
Download configuration	config.json	config.json

author
Categorical

	Dataset A	Dataset B
Distinct	10	10
Distinct (%)	0.1%	0.1%
Missing	3403	1621
Missing (%)	16.0%	15.6%
Memory size	331.7 KiB	162.7 KiB

Thompson	11621
Janssen	1846
Weatherhead	1377
Beus	1087
Peskov	729
Other values (5)	1166

Thompson	5775
Janssen	870
Weatherhead	663
Beus	517
Peskov	355
Other values (5)	614

Length

	Dataset A	Dataset B
Max length	12	12
Median length	8	8
Mean length	7.8993044	7.9031158
Min length	4	4

Characters and Unicode

	Dataset A	Dataset B
Total characters	140813	69500
Distinct characters	27	27
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Dataset A	Dataset B
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Dataset A	Dataset B
1st row	Thompson	Peskov
2nd row	Thompson	Thompson
3rd row	Thompson	Thompson
4th row	Beus	Beus
5th row	Thompson	Weatherhead

Common Values

Value	Count	Frequency (%)
Thompson	11621	54.7%
Janssen	1846	8.7%
Weatherhead	1377	6.5%
Beus	1087	5.1%
Peskov	729	3.4%
Williams	567	2.7%
Richenderfer	371	1.7%
Mortimore	130	0.6%
Kossolapov	70	0.3%
Inasaka	28	0.1%
(Missing)	3403	16.0%

Value	Count	Frequency (%)
Thompson	5775	55.4%
Janssen	870	8.4%
Weatherhead	663	6.4%
Beus	517	5.0%
Peskov	355	3.4%
Williams	324	3.1%
Richenderfer	174	1.7%
Mortimore	67	0.6%
Kossolapov	31	0.3%
Inasaka	18	0.2%
(Missing)	1621	15.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Dataset A

Dataset B

Value	Count	Frequency (%)
thompson	11621	65.2%
janssen	1846	10.4%
weatherhead	1377	7.7%
beus	1087	6.1%
peskov	729	4.1%
williams	567	3.2%
richenderfer	371	2.1%
mortimore	130	0.7%
kossolapov	70	0.4%
inasaka	28	0.2%

Value	Count	Frequency (%)
thompson	5775	65.7%
janssen	870	9.9%
weatherhead	663	7.5%
beus	517	5.9%
peskov	355	4.0%
williams	324	3.7%
richenderfer	174	2.0%
mortimore	67	0.8%
kossolapov	31	0.4%
inasaka	18	0.2%

Most occurring characters

Value	Count	Frequency (%)
o	24441	17.4%
s	17864	12.7%
n	15712	11.2%
h	14746	10.5%
m	12318	8.7%
p	11691	8.3%
T	11621	8.3%
e	9036	6.4%
a	5321	3.8%
r	2379	1.7%
Other values (17)	15684	11.1%

Value	Count	Frequency (%)
o	12132	17.5%
s	8791	12.6%
n	7707	11.1%
h	7275	10.5%
m	6166	8.9%
p	5806	8.4%
T	5775	8.3%
e	4320	6.2%
a	2605	3.7%
r	1145	1.6%
Other values (17)	7778	11.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	122987	87.3%
Uppercase Letter	17826	12.7%

Value	Count	Frequency (%)
Lowercase Letter	60706	87.3%
Uppercase Letter	8794	12.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	24441	19.9%
s	17864	14.5%
n	15712	12.8%
h	14746	12.0%
m	12318	10.0%
p	11691	9.5%
e	9036	7.3%
a	5321	4.3%
r	2379	1.9%
d	1748	1.4%
Other values (8)	7731	6.3%

Value	Count	Frequency (%)
o	12132	20.0%
s	8791	14.5%
n	7707	12.7%
h	7275	12.0%
m	6166	10.2%
p	5806	9.6%
e	4320	7.1%
a	2605	4.3%
r	1145	1.9%
i	889	1.5%
Other values (8)	3870	6.4%

Uppercase Letter

Value	Count	Frequency (%)
T	11621	65.2%
W	1944	10.9%
J	1846	10.4%
B	1087	6.1%
P	729	4.1%
R	371	2.1%
M	130	0.7%
K	70	0.4%
I	28	0.2%

Value	Count	Frequency (%)
T	5775	65.7%
W	987	11.2%
J	870	9.9%
B	517	5.9%
P	355	4.0%
R	174	2.0%
M	67	0.8%
K	31	0.4%
I	18	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140813	100.0%

Value	Count	Frequency (%)
Latin	69500	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	24441	17.4%
s	17864	12.7%
n	15712	11.2%
h	14746	10.5%
m	12318	8.7%
p	11691	8.3%
T	11621	8.3%
e	9036	6.4%
a	5321	3.8%
r	2379	1.7%
Other values (17)	15684	11.1%

Value	Count	Frequency (%)
o	12132	17.5%
s	8791	12.6%
n	7707	11.1%
h	7275	10.5%
m	6166	8.9%
p	5806	8.4%
T	5775	8.3%
e	4320	6.2%
a	2605	3.7%
r	1145	1.6%
Other values (17)	7778	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	140813	100.0%

Value	Count	Frequency (%)
ASCII	69500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	24441	17.4%
s	17864	12.7%
n	15712	11.2%
h	14746	10.5%
m	12318	8.7%
p	11691	8.3%
T	11621	8.3%
e	9036	6.4%
a	5321	3.8%
r	2379	1.7%
Other values (17)	15684	11.1%

Value	Count	Frequency (%)
o	12132	17.5%
s	8791	12.6%
n	7707	11.1%
h	7275	10.5%
m	6166	8.9%
p	5806	8.4%
T	5775	8.3%
e	4320	6.2%
a	2605	3.7%
r	1145	1.6%
Other values (17)	7778	11.2%

geometry
Categorical

	Dataset A	Dataset B
Distinct	3	3
Distinct (%)	< 0.1%	< 0.1%
Missing	3713	1787
Missing (%)	17.5%	17.2%
Memory size	331.7 KiB	162.7 KiB

tube	14121
annulus	2971
plate	424

tube	7024
annulus	1410
plate	194

Length

	Dataset A	Dataset B
Max length	7	7
Median length	4	4
Mean length	4.5330555	4.5127492
Min length	4	4

Characters and Unicode

	Dataset A	Dataset B
Total characters	79401	38936
Distinct characters	9	9
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Dataset A	Dataset B
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Dataset A	Dataset B
1st row	tube	tube
2nd row	tube	tube
3rd row	annulus	tube
4th row	tube	annulus
5th row	tube	tube

Common Values

Value	Count	Frequency (%)
tube	14121	66.5%
annulus	2971	14.0%
plate	424	2.0%
(Missing)	3713	17.5%

Value	Count	Frequency (%)
tube	7024	67.4%
annulus	1410	13.5%
plate	194	1.9%
(Missing)	1787	17.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Dataset A

Dataset B

Value	Count	Frequency (%)
tube	14121	80.6%
annulus	2971	17.0%
plate	424	2.4%

Value	Count	Frequency (%)
tube	7024	81.4%
annulus	1410	16.3%
plate	194	2.2%

Most occurring characters

Value	Count	Frequency (%)
u	20063	25.3%
t	14545	18.3%
e	14545	18.3%
b	14121	17.8%
n	5942	7.5%
a	3395	4.3%
l	3395	4.3%
s	2971	3.7%
p	424	0.5%

Value	Count	Frequency (%)
u	9844	25.3%
t	7218	18.5%
e	7218	18.5%
b	7024	18.0%
n	2820	7.2%
a	1604	4.1%
l	1604	4.1%
s	1410	3.6%
p	194	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	79401	100.0%

Value	Count	Frequency (%)
Lowercase Letter	38936	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	20063	25.3%
t	14545	18.3%
e	14545	18.3%
b	14121	17.8%
n	5942	7.5%
a	3395	4.3%
l	3395	4.3%
s	2971	3.7%
p	424	0.5%

Value	Count	Frequency (%)
u	9844	25.3%
t	7218	18.5%
e	7218	18.5%
b	7024	18.0%
n	2820	7.2%
a	1604	4.1%
l	1604	4.1%
s	1410	3.6%
p	194	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	79401	100.0%

Value	Count	Frequency (%)
Latin	38936	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	20063	25.3%
t	14545	18.3%
e	14545	18.3%
b	14121	17.8%
n	5942	7.5%
a	3395	4.3%
l	3395	4.3%
s	2971	3.7%
p	424	0.5%

Value	Count	Frequency (%)
u	9844	25.3%
t	7218	18.5%
e	7218	18.5%
b	7024	18.0%
n	2820	7.2%
a	1604	4.1%
l	1604	4.1%
s	1410	3.6%
p	194	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79401	100.0%

Value	Count	Frequency (%)
ASCII	38936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	20063	25.3%
t	14545	18.3%
e	14545	18.3%
b	14121	17.8%
n	5942	7.5%
a	3395	4.3%
l	3395	4.3%
s	2971	3.7%
p	424	0.5%

Value	Count	Frequency (%)
u	9844	25.3%
t	7218	18.5%
e	7218	18.5%
b	7024	18.0%
n	2820	7.2%
a	1604	4.1%
l	1604	4.1%
s	1410	3.6%
p	194	0.5%

pressure
Real number (ℝ)

	Dataset A	Dataset B
Distinct	140	118
Distinct (%)	0.8%	1.3%
Missing	2986	1466
Missing (%)	14.1%	14.1%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.635066	10.65233

	Dataset A	Dataset B
Minimum	0.1	0.1
Maximum	20.68	20.68
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	331.7 KiB	162.7 KiB

Quantile statistics

	Dataset A	Dataset B
Minimum	0.1	0.1
5-th percentile	3.45	3.45
Q1	6.89	6.89
median	11.03	11.07
Q3	13.79	13.79
95-th percentile	17.24	17.24
Maximum	20.68	20.68
Range	20.58	20.58
Interquartile range (IQR)	6.9	6.9

Descriptive statistics

	Dataset A	Dataset B
Standard deviation	4.3329433	4.3354087
Coefficient of variation (CV)	0.40742046	0.40699159
Kurtosis	-0.55906368	-0.55938547
Mean	10.635066	10.65233
Median Absolute Deviation (MAD)	2.76	2.8
Skewness	-0.34582278	-0.35270669
Sum	194015.5	95327.7
Variance	18.774397	18.795768
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.79	6179	29.1%
6.89	3145	14.8%
15.51	743	3.5%
10.34	719	3.4%
11.03	598	2.8%
3.45	409	1.9%
6.86	405	1.9%
12.07	355	1.7%
17.24	348	1.6%
18.96	332	1.6%
Other values (130)	5010	23.6%
(Missing)	2986	14.1%

Value	Count	Frequency (%)
13.79	3047	29.3%
6.89	1556	14.9%
15.51	374	3.6%
10.34	345	3.3%
11.03	274	2.6%
3.45	230	2.2%
6.86	196	1.9%
0.1	178	1.7%
12.07	175	1.7%
18.96	167	1.6%
Other values (108)	2407	23.1%
(Missing)	1466	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	315	1.5%
0.2	83	0.4%
0.3	1	< 0.1%
0.31	6	< 0.1%
0.33	5	< 0.1%
0.34	2	< 0.1%
0.36	1	< 0.1%
0.39	6	< 0.1%
0.51	98	0.5%
0.62	6	< 0.1%

Value	Count	Frequency (%)
0.1	178	1.7%
0.2	34	0.3%
0.3	1	< 0.1%
0.31	3	< 0.1%
0.33	3	< 0.1%
0.39	7	0.1%
0.51	38	0.4%
0.62	3	< 0.1%
0.64	5	< 0.1%
0.91	2	< 0.1%

Value	Count	Frequency (%)
0.1	178	0.8%
0.2	34	0.2%
0.3	1	< 0.1%
0.31	3	< 0.1%
0.33	3	< 0.1%
0.39	7	< 0.1%
0.51	38	0.2%
0.62	3	< 0.1%
0.64	5	< 0.1%
0.91	2	< 0.1%

Value	Count	Frequency (%)
0.1	315	3.0%
0.2	83	0.8%
0.3	1	< 0.1%
0.31	6	0.1%
0.33	5	< 0.1%
0.34	2	< 0.1%
0.36	1	< 0.1%
0.39	6	0.1%
0.51	98	0.9%
0.62	6	0.1%

mass_flux
Real number (ℝ)

	Dataset A	Dataset B
Distinct	689	619
Distinct (%)	3.8%	7.0%
Missing	3227	1564
Missing (%)	15.2%	15.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	3070.4878	3062.9736

	Dataset A	Dataset B
Minimum	0	0
Maximum	7975	7975
Zeros	5	4
Zeros (%)	< 0.1%	< 0.1%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	331.7 KiB	162.7 KiB

Quantile statistics

	Dataset A	Dataset B
Minimum	0	0
5-th percentile	833	783
Q1	1505	1519
median	2730	2740
Q3	4069	4069
95-th percentile	6347	6225.5
Maximum	7975	7975
Range	7975	7975
Interquartile range (IQR)	2564	2550

Descriptive statistics

	Dataset A	Dataset B
Standard deviation	1784.8731	1761.0661
Coefficient of variation (CV)	0.58129954	0.57495309
Kurtosis	-0.15296149	-0.18679136
Mean	3070.4878	3062.9736
Median Absolute Deviation (MAD)	1326	1316
Skewness	0.72138393	0.69296372
Sum	55274921	27110379
Variance	3185772.1	3101353.8
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4069	623	2.9%
1519	437	2.1%
1356	411	1.9%
2034	341	1.6%
1000	291	1.4%
1383	181	0.9%
3811	166	0.8%
2292	164	0.8%
1533	160	0.8%
4055	158	0.7%
Other values (679)	15070	71.0%
(Missing)	3227	15.2%

Value	Count	Frequency (%)
4069	340	3.3%
1356	204	2.0%
1519	197	1.9%
2034	192	1.8%
1000	127	1.2%
4096	101	1.0%
1383	85	0.8%
2292	83	0.8%
3784	83	0.8%
3838	81	0.8%
Other values (609)	7358	70.6%
(Missing)	1564	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	< 0.1%
4	4	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
310	10	< 0.1%
332	2	< 0.1%
336	9	< 0.1%
339	8	< 0.1%
340	19	0.1%

Value	Count	Frequency (%)
0	4	< 0.1%
8	1	< 0.1%
82	1	< 0.1%
148	1	< 0.1%
310	7	0.1%
332	2	< 0.1%
336	6	0.1%
339	2	< 0.1%
340	6	0.1%
346	2	< 0.1%

Value	Count	Frequency (%)
0	4	< 0.1%
8	1	< 0.1%
82	1	< 0.1%
148	1	< 0.1%
310	7	< 0.1%
332	2	< 0.1%
336	6	< 0.1%
339	2	< 0.1%
340	6	< 0.1%
346	2	< 0.1%

Value	Count	Frequency (%)
0	5	< 0.1%
4	4	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
310	10	0.1%
332	2	< 0.1%
336	9	0.1%
339	8	0.1%
340	19	0.2%

d_e
Real number (ℝ)

	Dataset A	Dataset B
Distinct	41	37
Distinct (%)	0.2%	0.4%
Missing	3641	1847
Missing (%)	17.2%	17.7%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	8.5893052	8.7112628

	Dataset A	Dataset B
Minimum	1	1
Maximum	37.5	37.5
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	331.7 KiB	162.7 KiB

Quantile statistics

	Dataset A	Dataset B
Minimum	1	1
5-th percentile	1.9	1.9
Q1	4.7	5
median	7.8	8.5
Q3	10.8	10.8
95-th percentile	15	15
Maximum	37.5	37.5
Range	36.5	36.5
Interquartile range (IQR)	6.1	5.8

Descriptive statistics

	Dataset A	Dataset B
Standard deviation	5.1322071	5.2931496
Coefficient of variation (CV)	0.59751132	0.60762138
Kurtosis	9.1373713	8.9280928
Mean	8.5893052	8.7112628
Median Absolute Deviation (MAD)	3	2.9
Skewness	2.1707251	2.1929428
Sum	151068.7	74638.1
Variance	26.33955	28.017432
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
10.3	1790	8.4%
1.9	1692	8.0%
10.8	1686	7.9%
4.7	1637	7.7%
7.7	1552	7.3%
5.6	1417	6.7%
12.7	963	4.5%
7.8	872	4.1%
10	740	3.5%
9.5	564	2.7%
Other values (31)	4675	22.0%
(Missing)	3641	17.2%

Value	Count	Frequency (%)
10.3	894	8.6%
10.8	826	7.9%
1.9	807	7.7%
4.7	795	7.6%
7.7	742	7.1%
5.6	691	6.6%
12.7	470	4.5%
7.8	411	3.9%
10	340	3.3%
9.5	317	3.0%
Other values (27)	2275	21.8%
(Missing)	1847	17.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	93	0.4%
1.1	12	0.1%
1.7	6	< 0.1%
1.9	1692	8.0%
3	325	1.5%
3.6	188	0.9%
4.6	457	2.2%
4.7	1637	7.7%
5	130	0.6%
5.6	1417	6.7%

Value	Count	Frequency (%)
1	60	0.6%
1.1	6	0.1%
1.7	2	< 0.1%
1.9	807	7.7%
3	158	1.5%
3.6	93	0.9%
4.6	201	1.9%
4.7	795	7.6%
5	59	0.6%
5.6	691	6.6%

Value	Count	Frequency (%)
1	60	0.3%
1.1	6	< 0.1%
1.7	2	< 0.1%
1.9	807	3.8%
3	158	0.7%
3.6	93	0.4%
4.6	201	0.9%
4.7	795	3.7%
5	59	0.3%
5.6	691	3.3%

Value	Count	Frequency (%)
1	93	0.9%
1.1	12	0.1%
1.7	6	0.1%
1.9	1692	16.2%
3	325	3.1%
3.6	188	1.8%
4.6	457	4.4%
4.7	1637	15.7%
5	130	1.2%
5.6	1417	13.6%

d_h
Real number (ℝ)

	Dataset A	Dataset B
Distinct	47	44
Distinct (%)	0.3%	0.5%
Missing	3127	1462
Missing (%)	14.7%	14.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	14.215446	14.091198

	Dataset A	Dataset B
Minimum	1	1
Maximum	120	120
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	331.7 KiB	162.7 KiB

Quantile statistics

	Dataset A	Dataset B
Minimum	1	1
5-th percentile	1.9	1.9
Q1	5.6	5.6
median	10	10
Q3	11.5	11.5
95-th percentile	42.3	42.3
Maximum	120	120
Range	119	119
Interquartile range (IQR)	5.9	5.9

Descriptive statistics

	Dataset A	Dataset B
Standard deviation	19.913594	19.686604
Coefficient of variation (CV)	1.400842	1.3970852
Kurtosis	18.283387	18.705588
Mean	14.215446	14.091198
Median Absolute Deviation (MAD)	4.3	3.3
Skewness	4.1188611	4.1555643
Sum	257328	126158.5
Variance	396.55123	387.56239
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
10.3	1869	8.8%
10.8	1735	8.2%
1.9	1727	8.1%
4.7	1701	8.0%
7.7	1587	7.5%
15.2	1061	5.0%
7.8	885	4.2%
10	753	3.5%
42.3	583	2.7%
9.5	575	2.7%
Other values (37)	5626	26.5%
(Missing)	3127	14.7%

Value	Count	Frequency (%)
10.3	923	8.9%
10.8	863	8.3%
4.7	853	8.2%
1.9	842	8.1%
7.7	795	7.6%
15.2	517	5.0%
7.8	428	4.1%
10	362	3.5%
9.5	329	3.2%
42.3	281	2.7%
Other values (34)	2760	26.5%
(Missing)	1462	14.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	100	0.5%
1.1	11	0.1%
1.7	7	< 0.1%
1.9	1727	8.1%
3	326	1.5%
3.6	192	0.9%
4.6	397	1.9%
4.7	1701	8.0%
5.6	377	1.8%
5.7	283	1.3%

Value	Count	Frequency (%)
1	65	0.6%
1.1	6	0.1%
1.7	2	< 0.1%
1.9	842	8.1%
3	166	1.6%
3.6	93	0.9%
4.6	207	2.0%
4.7	853	8.2%
5.6	193	1.9%
5.7	117	1.1%

Value	Count	Frequency (%)
1	65	0.3%
1.1	6	< 0.1%
1.7	2	< 0.1%
1.9	842	4.0%
3	166	0.8%
3.6	93	0.4%
4.6	207	1.0%
4.7	853	4.0%
5.6	193	0.9%
5.7	117	0.6%

Value	Count	Frequency (%)
1	100	1.0%
1.1	11	0.1%
1.7	7	0.1%
1.9	1727	16.6%
3	326	3.1%
3.6	192	1.8%
4.6	397	3.8%
4.7	1701	16.3%
5.6	377	3.6%
5.7	283	2.7%

length
Real number (ℝ)

	Dataset A	Dataset B
Distinct	65	60
Distinct (%)	0.4%	0.7%
Missing	3157	1602
Missing (%)	14.9%	15.4%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	830.56496	837.95484

	Dataset A	Dataset B
Minimum	10	10
Maximum	3048	3048
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	331.7 KiB	162.7 KiB

Quantile statistics

	Dataset A	Dataset B
Minimum	10	10
5-th percentile	100	100
Q1	318	318
median	610	610
Q3	914	914
95-th percentile	2134	2134
Maximum	3048	3048
Range	3038	3038
Interquartile range (IQR)	596	596

Descriptive statistics

	Dataset A	Dataset B
Standard deviation	671.14217	674.67667
Coefficient of variation (CV)	0.808055	0.80514681
Kurtosis	-0.10396928	-0.12321172
Mean	830.56496	837.95484
Median Absolute Deviation (MAD)	292	292
Skewness	1.0317481	1.0169489
Sum	15009970	7384896
Variance	450431.81	455188.6
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
457	2140	10.1%
762	1575	7.4%
318	1456	6.9%
2134	1252	5.9%
152	1227	5.8%
432	1013	4.8%
591	897	4.2%
1778	792	3.7%
914	673	3.2%
864	617	2.9%
Other values (55)	6430	30.3%
(Missing)	3157	14.9%

Value	Count	Frequency (%)
457	1040	10.0%
762	789	7.6%
318	698	6.7%
2134	581	5.6%
152	573	5.5%
432	499	4.8%
591	405	3.9%
1778	353	3.4%
914	343	3.3%
1836	331	3.2%
Other values (50)	3201	30.7%
(Missing)	1602	15.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	479	2.3%
12	1	< 0.1%
20	1	< 0.1%
25	34	0.2%
35	75	0.4%
38	33	0.2%
43	5	< 0.1%
51	42	0.2%
64	15	0.1%
76	187	0.9%

Value	Count	Frequency (%)
10	230	2.2%
25	22	0.2%
35	25	0.2%
38	23	0.2%
43	2	< 0.1%
51	23	0.2%
64	7	0.1%
76	95	0.9%
96	1	< 0.1%
100	21	0.2%

Value	Count	Frequency (%)
10	230	1.1%
25	22	0.1%
35	25	0.1%
38	23	0.1%
43	2	< 0.1%
51	23	0.1%
64	7	< 0.1%
76	95	0.4%
96	1	< 0.1%
100	21	0.1%

Value	Count	Frequency (%)
10	479	4.6%
12	1	< 0.1%
20	1	< 0.1%
25	34	0.3%
35	75	0.7%
38	33	0.3%
43	5	< 0.1%
51	42	0.4%
64	15	0.1%
76	187	1.8%

chf_exp
Real number (ℝ)

	Dataset A	Dataset B
Distinct	109	109
Distinct (%)	0.5%	1.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	3.809129	3.7722324

	Dataset A	Dataset B
Minimum	0.8	0.8
Maximum	19.3	19.3
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	331.7 KiB	162.7 KiB

Quantile statistics

	Dataset A	Dataset B
Minimum	0.8	0.8
5-th percentile	1.6	1.6
Q1	2.4	2.4
median	3.4	3.4
Q3	4.7	4.6
95-th percentile	7.5	7.5
Maximum	19.3	19.3
Range	18.5	18.5
Interquartile range (IQR)	2.3	2.2

Descriptive statistics

	Dataset A	Dataset B
Standard deviation	1.988009	1.9756402
Coefficient of variation (CV)	0.52190644	0.52373238
Kurtosis	6.0549246	5.7642107
Mean	3.809129	3.7722324
Median Absolute Deviation (MAD)	1.1	1.1
Skewness	1.8439524	1.8129017
Sum	80864	39287.8
Variance	3.9521797	3.9031544
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.3	861	4.1%
2.2	752	3.5%
2.5	736	3.5%
2.1	667	3.1%
3.6	664	3.1%
2.6	639	3.0%
3.2	614	2.9%
2.7	610	2.9%
2	606	2.9%
1.8	576	2.7%
Other values (99)	14504	68.3%

Value	Count	Frequency (%)
2.5	408	3.9%
2.3	399	3.8%
2.2	382	3.7%
3.6	322	3.1%
2.7	320	3.1%
2.1	313	3.0%
2.6	311	3.0%
1.8	296	2.8%
2	294	2.8%
3.2	292	2.8%
Other values (99)	7078	68.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.8	12	0.1%
0.9	57	0.3%
1	88	0.4%
1.1	140	0.7%
1.2	107	0.5%
1.3	140	0.7%
1.4	173	0.8%
1.5	243	1.1%
1.6	272	1.3%
1.7	154	0.7%

Value	Count	Frequency (%)
0.8	4	< 0.1%
0.9	38	0.4%
1	48	0.5%
1.1	66	0.6%
1.2	54	0.5%
1.3	78	0.7%
1.4	105	1.0%
1.5	100	1.0%
1.6	170	1.6%
1.7	89	0.9%

Value	Count	Frequency (%)
0.8	4	< 0.1%
0.9	38	0.2%
1	48	0.2%
1.1	66	0.3%
1.2	54	0.3%
1.3	78	0.4%
1.4	105	0.5%
1.5	100	0.5%
1.6	170	0.8%
1.7	89	0.4%

Value	Count	Frequency (%)
0.8	12	0.1%
0.9	57	0.5%
1	88	0.8%
1.1	140	1.3%
1.2	107	1.0%
1.3	140	1.3%
1.4	173	1.7%
1.5	243	2.3%
1.6	272	2.6%
1.7	154	1.5%

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Auto

Heatmap
Table

Dataset A

Dataset B

Dataset A

	pressure	mass_flux	d_e	d_h	length	chf_exp	author	geometry
pressure	1.000	-0.227	-0.579	-0.544	-0.152	-0.314	0.370	0.588
mass_flux	-0.227	1.000	0.006	-0.079	0.059	0.352	0.191	0.219
d_e	-0.579	0.006	1.000	0.806	0.407	0.066	0.342	0.465
d_h	-0.544	-0.079	0.806	1.000	0.625	-0.086	0.631	0.902
length	-0.152	0.059	0.407	0.625	1.000	-0.283	0.431	0.511
chf_exp	-0.314	0.352	0.066	-0.086	-0.283	1.000	0.152	0.176
author	0.370	0.191	0.342	0.631	0.431	0.152	1.000	0.962
geometry	0.588	0.219	0.465	0.902	0.511	0.176	0.962	1.000

Dataset B

	pressure	mass_flux	d_e	d_h	length	chf_exp	author	geometry
pressure	1.000	-0.245	-0.575	-0.529	-0.132	-0.338	0.366	0.568
mass_flux	-0.245	1.000	0.012	-0.066	0.080	0.334	0.190	0.214
d_e	-0.575	0.012	1.000	0.820	0.409	0.056	0.370	0.459
d_h	-0.529	-0.066	0.820	1.000	0.621	-0.079	0.703	0.896
length	-0.132	0.080	0.409	0.621	1.000	-0.285	0.426	0.491
chf_exp	-0.338	0.334	0.056	-0.079	-0.285	1.000	0.149	0.160
author	0.366	0.190	0.370	0.703	0.426	0.149	1.000	0.961
geometry	0.568	0.214	0.459	0.896	0.491	0.160	0.961	1.000

Dataset A

A simple visualization of nullity by column.

Dataset B

A simple visualization of nullity by column.

Dataset A

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Dataset B

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Dataset A

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Dataset B

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

Dataset A

	author	geometry	pressure	mass_flux	d_e	d_h	length	chf_exp
id
0	Thompson	tube	7.00	3770.0	NaN	10.8	432.0	3.6
1	Thompson	tube	NaN	6049.0	10.3	10.3	762.0	6.2
2	Thompson	NaN	13.79	2034.0	7.7	7.7	457.0	2.5
3	Beus	annulus	13.79	3679.0	5.6	15.2	2134.0	3.0
5	NaN	NaN	17.24	3648.0	NaN	1.9	696.0	3.6
6	Thompson	NaN	6.89	549.0	12.8	12.8	1930.0	2.6
8	NaN	tube	12.07	4042.0	NaN	NaN	152.0	5.6
9	Peskov	tube	12.00	1617.0	10.0	10.0	520.0	2.2
11	Janssen	annulus	4.13	1519.0	12.7	NaN	1778.0	4.6
13	Peskov	tube	12.00	2794.0	10.0	NaN	1650.0	2.9

Dataset B

	author	geometry	pressure	mass_flux	d_e	d_h	length	chf_exp
id
4	NaN	tube	13.79	686.0	11.1	11.1	457.0	2.8
7	Peskov	tube	18.00	750.0	10.0	10.0	1650.0	2.2
10	Thompson	tube	NaN	NaN	1.9	1.9	152.0	3.2
12	Thompson	NaN	6.89	7500.0	NaN	12.8	1930.0	4.8
23	Beus	annulus	15.51	1355.0	5.6	15.2	2134.0	2.1
27	Weatherhead	NaN	13.79	NaN	11.1	11.1	457.0	3.5
34	Thompson	tube	13.79	1275.0	NaN	7.8	591.0	2.4
36	Thompson	tube	13.79	1655.0	7.7	7.7	457.0	3.8
39	Thompson	tube	13.79	5588.0	5.7	5.7	625.0	3.3
43	Thompson	tube	18.96	2699.0	1.9	1.9	696.0	2.2

Dataset A

	author	geometry	pressure	mass_flux	d_e	d_h	length	chf_exp
id
31627	Thompson	tube	0.64	3282.0	3.0	3.0	100.0	7.1
31628	Thompson	tube	13.79	1302.0	4.7	4.7	NaN	2.5
31630	Janssen	annulus	6.89	2807.0	6.4	NaN	914.0	4.5
31631	Thompson	tube	3.86	NaN	10.8	10.8	432.0	4.1
31635	Thompson	tube	17.24	2984.0	1.9	1.9	152.0	3.9
31636	NaN	NaN	12.07	NaN	NaN	1.9	152.0	5.4
31638	Thompson	tube	NaN	3648.0	4.7	4.7	318.0	9.0
31639	Thompson	NaN	NaN	1736.0	NaN	7.8	591.0	2.3
31641	Thompson	NaN	18.27	658.0	3.0	3.0	150.0	2.3
31643	NaN	tube	6.89	7568.0	12.8	12.8	1930.0	3.3

Dataset B

	author	geometry	pressure	mass_flux	d_e	d_h	length	chf_exp
id
31620	Thompson	NaN	15.51	3024.0	1.9	1.9	NaN	6.4
31621	Thompson	tube	6.86	4062.0	10.8	NaN	1727.0	4.2
31625	Thompson	tube	NaN	3637.0	4.6	4.6	229.0	12.8
31629	Thompson	NaN	13.79	4964.0	NaN	4.7	318.0	3.9
31632	Thompson	tube	18.27	833.0	NaN	NaN	150.0	4.1
31633	Thompson	tube	11.03	NaN	11.5	11.5	NaN	2.0
31634	Richenderfer	plate	1.01	2000.0	15.0	120.0	10.0	6.2
31637	Weatherhead	tube	13.79	688.0	NaN	11.1	457.0	2.3
31640	NaN	NaN	13.79	NaN	4.7	4.7	NaN	3.9
31642	Thompson	tube	6.89	3825.0	23.6	23.6	1972.0	3.7

Dataset A

	author	geometry	pressure	mass_flux	d_e	d_h	length	chf_exp	# duplicates
356	Thompson	tube	13.79	1233.0	7.8	7.8	591.0	2.3	9
531	Thompson	tube	13.79	NaN	7.8	7.8	591.0	2.6	9
529	Thompson	tube	13.79	NaN	7.8	7.8	591.0	2.3	8
514	Thompson	tube	13.79	NaN	7.7	7.7	457.0	2.3	7
520	Thompson	tube	13.79	NaN	7.7	7.7	457.0	3.6	6
449	Thompson	tube	13.79	3648.0	4.7	4.7	318.0	3.2	5
527	Thompson	tube	13.79	NaN	7.8	7.8	591.0	2.0	5
685	Weatherhead	tube	13.79	NaN	7.7	7.7	457.0	2.6	5
4	Beus	annulus	11.03	1355.0	5.6	15.2	2134.0	2.1	4
27	Beus	annulus	13.79	NaN	5.6	15.2	2134.0	2.1	4

Dataset B

	author	geometry	pressure	mass_flux	d_e	d_h	length	chf_exp	# duplicates
118	Thompson	tube	13.79	1465.0	7.8	7.8	591.0	2.5	4
164	Thompson	tube	13.79	NaN	7.8	7.8	591.0	2.9	4
11	Beus	annulus	15.51	NaN	5.6	15.2	2134.0	1.6	3
16	Beus	annulus	NaN	NaN	5.6	15.2	2134.0	2.1	3
29	Janssen	annulus	6.89	NaN	8.5	22.3	2743.0	2.2	3
46	Thompson	tube	3.45	5696.0	10.3	10.3	762.0	4.4	3
76	Thompson	tube	6.89	NaN	37.5	37.5	1953.0	2.0	3
115	Thompson	tube	13.79	1370.0	7.7	7.7	457.0	4.5	3
124	Thompson	tube	13.79	1736.0	7.8	7.8	591.0	2.1	3
144	Thompson	tube	13.79	NaN	4.7	4.7	318.0	2.7	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Dataset A

Dataset B

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Dataset A

Dataset B

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

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Dataset B

Dataset A

Dataset B

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Dataset B

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Dataset B

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Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

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Dataset B

Dataset A

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Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B

Dataset A

Dataset B